CFP Special Issue of ARTIFICIAL LIFE on EVOLUTION OF SENSORS IN NATURE, HARDWARE AND SIMULATION""

Daniel Polani polani at informatik.uni-mainz.de
Tue Apr 18 05:58:16 EST 2000


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			   Call For Papers
                                      
       EVOLUTION OF SENSORS IN NATURE, HARDWARE AND SIMULATION
                                      
	      Special Issue of the International Journal
                                      
			   ARTIFICIAL LIFE
                                      
			      edited by
                                      
	  Kerstin Dautenhahn, Daniel Polani, Thomas Uthmann
                                      
	      *** Submissions due: 15 September 2000 ***

     http://homepages.feis.herts.ac.uk/~comqkd/SensorEvolve.html

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Also see a workshop on the same topic to be held at Alife VII, August
2000, Oregon, USA:

  http://www.inb.mu-luebeck.de/events/ESNHS2000_Alife.html
------------

Artificial Life and its attempt to create life-as-it-could-be has
widely studied behavior of animals and artifacts. Already shown in
early precursors of life-like artificial systems, e.g. Grey Walter's
tortoises, or Valentino Braitenberg's vehicles, Artificial Life
research is strongly motivated by the desire to understand and create
life-like behavior and (neural) control. Creating life-like behaviour
in simulation or robots has increased our understanding of design and
evolution of controllers for artificial systems. Despite the
interrelationship between behaviour, sensors, and other morphological
characteristics of animal systems, the evolution of sensors is rarely
the primary aim of scientific investigations. The choice of sensors
for robots is often limited by practical or financial constraints, and
sensors in simulation are often modeled without strong reference to
biological sensors. In natural evolution one finds impressive examples
of the principle of exploiting new sensory channels and information
they carry. Olfactory, tactile, auditory and visual, but also
e.g. electrical and even magnetic senses have evolved in a multitude
of variants, often utilizing organs not originally "intended" for the
purpose they serve at present. Many biological sensors reach a degree
of structural and functional complexity and of efficiency which is
envied by engineers creating man-made sensors. Sensors enable animals
to survive in dynamic and unstructured environments, to perceive and
react appropriately to features in the biotic and abiotic environment,
including members of the own species as well as predators and prey.
Synthesizing artificial sensors for hardware or software systems
suggests a similar approach taken for generating life-like behaviour,
namely using evolutionary techniques in order to explore design spaces
and generate sensors which are specifically adapted with respect to
environmental and other fitness related constraints.

Recent advancements in simulation as well as hardware technology
provide increasing means to study sensor evolution. This special issue
aims to bring together state-of-the-art research in the field of
sensor evolution, addressing both the animal as well as the artifact
perspective.


TOPICS OF INTEREST

The topics of interest of the special issue include but are not limited
to: 

* Sensor evolution in nature, diversity and structure of biological
  sensors, characteristics of biological sensors in relationship to
  the environment, adaptive properties of biological sensors,
  biological sensors and how they increase adaptivity and survival of
  animals, relationship between evolution of sensors and behavioral
  and morphological characteristics

* Design concepts for artificial sensors and their evolution, the role
  of sensors in building complete, autonomous agents and how they
  interact with the environment

* Relationship between sensors, perception and actuation

* Hardware realizations of evolvable sensors, evolutionary robotics 

* Simulated artificial sensors, experiments modeling natural sensor
  evolution

* Evolution of artificial sensors, bodies, and control, suitability of
  different control approaches (e.g. neural networks) for evolving
  life-like agents

* Evolution of artificial sensors and communication, inter- and
  intraspecific interactions

* Feature identification as meta-sensors 

* Abstract sensor evolution models, abstract mathematical modeling of
  evolution of sensors and the information processing required

 
SUBMISSION INSTRUCTIONS:

Please send five (5) hardcopies of your paper to: 

     Dr. Kerstin Dautenhahn (Artificial Life) 
     Adaptive Systems Research Group
     Department of Computer Science 
     University of Hertfordshire 
     College Lane 
     Hatfield Herts AL10 9AB 
     United Kingdom

Electronic submissions are discouraged. If it is not possible to send
hardcopies, please contact K.Dautenhahn at herts.ac.uk. Any
questions concerning the appropriateness of planned submissions or other
queries may be directed to the editors:

Kerstin Dautenhahn
University of Hertfordshire
K.Dautenhahn at herts.ac.uk 

Daniel Polani
Medical University Lubeck
polani at Informatik.Uni-Mainz.DE

Thomas Uthmann
University of Mainz
UTHMANN at Informatik.Uni-Mainz.DE


IMPORTANT DATES:

15 September 2000: Deadline for Submission of Manuscripts
1 December 2000: Notification of Authors
15 January 2001: Final copies due





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